class_docstr: Handler for `FixedLenFeature` values.
  
  `FixedLenFeature` values will be parsed as a scalar or an array of the
  corresponding dtype. In case the value is missing the default_value will
  be returned. If the default value is not present a ValueError will be raised.
class_docstr_tok: ["Handler","for","`","FixedLenFeature","`","values",".","`","FixedLenFeature","`","values","will","be","parsed","as","a","scalar","or","an","array","of","the","corresponding","dtype",".","In","case","the","value","is","missing","the","default_value","will","be","returned",".","If","the","default","value","is","not","present","a","ValueError","will","be","raised","."]
code: def name(self):
      return self._name
  
file_path: transform/tensorflow_transform/coders/csv_coder.py
imports: import csv
  import io
  import numpy
  import tensorflow
  from tensorflow_transform.tf_metadata import schema_utils
label_desc: Use image node_id 2 for calling the _FixedLenFeatureHandler obj's underlying member method code with example usage: obj.name() and returns: self